{"id":"W2514380113","doi":"10.2139/ssrn.2834019","title":"Welfare Implications of Congestion Pricing: Evidence from SFpark","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Economics; Welfare; Business; Financial economics; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299548,0.0002814276,0.000650952,0.001571661,0.0009121152,0.00215339,0.0008162659,0.001017004,0.01754519],"category_scores_gemma":[0.02523228,0.0002460348,0.0007885845,0.002472841,0.001703877,0.002397689,0.000910096,0.00157693,0.0008201555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158812,"about_ca_system_score_gemma":0.001230707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067782,"about_ca_topic_score_gemma":0.02304698,"domain_scores_codex":[0.9980955,0.001006174,0.00007521204,0.0001675534,0.000351155,0.0003044685],"domain_scores_gemma":[0.9711,0.02012723,0.003923968,0.001569476,0.002242008,0.001037235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01692192,0.004833161,0.4777797,0.001317779,0.002112409,0.001349776,0.002790486,0.02861973,0.00112362,0.2053917,0.07376012,0.1839995],"study_design_scores_gemma":[0.003438027,0.0026225,0.607497,0.0005005033,0.00239845,0.0006751851,0.01096813,0.03454022,0.002561449,0.2615621,0.07302996,0.0002064937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9220058,0.002031729,0.002474703,0.005868684,0.0001103508,0.00005843869,0.003508244,0.00008157432,0.06386042],"genre_scores_gemma":[0.9971316,0.0003462932,0.0001478775,0.0002171303,0.00003067767,0.00000878929,0.0005292304,0.000007125398,0.001581249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02067782,"threshold_uncertainty_score":0.05869454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019802337017125,"score_gpt":0.3004641498754623,"score_spread":0.270266126505291,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}